TU Wien Informatics

Boris Sedlak

Template User

Research scientist
Dipl.-Ing, BSc

+43 1 58801 18451

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Short CV

Boris is a Ph.D. student in the Distributed Systems Group at the Technical University of Vienna in Austria. He received his B.Sc. in Media Informatics at the University of Applied Sciences in St. Pölten and his M.Sc. in Software Engineering & Internet Computing at the TU Wien. He worked for four years in the field of software engineering before starting to work on Teadal, a European project on federated and trustworthy data lakes.

Research Interests


Thesis & Project Supervision

If you are interested in a topic that fits my research interests, I can (co-)advise your bachelor or master thesis. Furthermore, I can offer that we elaborate a topic together, based on your specific interests.

In particular, I’m currently offering topics in the context of ensuring Service Level Objectives (SLOs) through Active Inference (AIF), where the challenges are to ensure processing requirements (i.e., SLOs) in heterogeneous edge computing infrastructures


Publications

  1. Sedlak, B., Pujol, V. C., Morichetta, A., Donta, P. K., & Dustdar, S. (2024). Adaptive Stream Processing on Edge Devices through Active Inference. arXiv. https://doi.org/10.48550/arXiv.2409.17937
  2. Sedlak, B., Morichetta, A., Wang, Y., Fei, Y., Wang, L., Dustdar, S., & Qu, X. (2024). SLO-Aware Task Offloading within Collaborative Vehicle Platoons. arXiv. https://doi.org/10.48550/arXiv.2409.17667
  3. Casamayor Pujol, V., Sedlak, B., Xu, Y., Donta, P. K., & Dustdar, S. (2024). DeepSLOs for the Computing Continuum. In Proceedings of the 2024 Workshop on Advanced Tools, Programming Languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems (pp. 1–10). New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3663338.3663681
  4. Sedlak, B., Pujol, V. C., Donta, P. K., & Dustdar, S. (2024). Active Inference on the Edge: A Design Study. In 2024 IEEE PerCom Workshops (pp. 550–555). https://doi.org/10.1109/PerComWorkshops59983.2024.10502828
  5. Pujol, V. C., Sedlak, B., Donta, P. K., & Dustdar, S. (2024). On Causality in Distributed Continuum Systems. IEEE Internet Computing, 28(2), 57–64. https://doi.org/10.1109/MIC.2023.3344248
  6. Sedlak, B., Pujol, V. C., Donta, P. K., & Dustdar, S. (2024). Equilibrium in the Computing Continuum through Active Inference. Future Generation Computer System. https://doi.org/10.1016/j.future.2024.05.056
  7. Sedlak, B., Pujol, V. C., Donta, P. K., & Dustdar, S. (2024). Markov Blanket Composition of SLOs. In 2024 IEEE International Conference on Edge Computing and Communications (EDGE). https://doi.org/10.1109/EDGE62653.2024.00025
  8. Sedlak, B., Pujol, V. C., Donta, P. K., & Dustdar, S. (2024). Diffusing High-level SLO in Microservice Pipelines. In IEEE SOSE. https://doi.org/10.1109/SOSE62363.2024.00008
  9. Donta, P. K., Murturi, I., Casamayor Pujol, V., Sedlak, B., & Dustdar, S. (2023). Exploring the Potential of Distributed Computing Continuum Systems. Computers, 12(10), 198. https://doi.org/10.3390/computers12100198
  10. Sedlak, B., Casamayor Pujol, V., Donta, P. K., & Dustdar, S. (2023). Controlling Data Gravity and Data Friction: From Metrics to Multidimensional Elasticity Strategies. In IEEE SSE 2023. Chicago, IL, USA. https://doi.org/10.1109/SSE60056.2023.00017
  11. Donta, P. K., Sedlak, B., Casamayor Pujol, V., & Dustdar, S. (2023). Governance and sustainability of distributed continuum systems: a big data approach. Journal of Big Data, 10(1), 53. https://doi.org/10.1186/s40537-023-00737-0
  12. Sedlak, B., Pujol, V. C., Donta, P. K., Werner, S., Wolf, K., Falconi, M., … Plebani, P. (2023). Towards Serverless Data Exchange Within Federations. In Service-Oriented Computing (pp. 144–153). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-45728-9_9
  13. Sedlak, B., Murturi, I., Donta, P. K., & Dustdar, S. (2023). A Privacy Enforcing Framework for Transforming Data Streams on the Edge. IEEE Transactions on Emerging Topics in Computing. https://doi.org/10.1109/TETC.2023.3315131
  14. Sedlak, B., Pujol, V. C., Donta, P. K., & Dustdar, S. (2023). Designing Reconfigurable Intelligent Systems with Markov Blankets. In Service-Oriented Computing (pp. 42–50). https://doi.org/10.1007/978-3-031-48421-6_4
  15. Sedlak, B., Murturi, I., & Dustdar, S. (2022). Specification and Operation of Privacy Models for Data Streams on the Edge. In 2022 IEEE 6th International Conference on Fog and Edge Computing (ICFEC) (pp. 78–82). Messina, Italy: IEEE. https://doi.org/10.1109/ICFEC54809.2022.00018
  16. Sedlak, B. (2022). Thesis: Specification and operation of privacy models for data streams on the edge (Thesis). Wien. https://doi.org/10.34726/hss.2022.96247